TTT Tax_MLOps_Tax Senior

Key Skills

Analytical and Problem solving, AWS, Azure, Cloud computing, Design, DevOps, Docker, Effective communication skills, English Proficiency, Git, Google Cloud Platform (GCP), Jenkins, Keras software library, Kubernetes-K8s, Machine learning techniques, MLOps tools, PyTorch, Scikit-learn, Software Development, TensorFlow

Job Description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

Key responsibilities:

• Develop, deploy, and maintain machine learning models, pipelines, and workflows in production environment.
• Build and maintain machine learning infrastructure that is scalable, reliable, and efficient.
• Collaborate with data scientists and software engineers to design and implement machine learning workflows.
• Implement monitoring and logging tools to ensure that machine learning models are performing optimally.
• Work with DevOps team to deploy and manage infrastructure for machine learning services.
• Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality
• Data science models testing, validation and tests automation
• Communicate with a team of data engineers and architect, document the processes
• Experience in Software development life cycle 
• Should have hands on Exposure to work on Web based application and deploy to Cloud infrastructure 
• Knowledge on cloud platform like Microsoft Azure will be added advantage.

Required Qualifications:

• Bachelor's or Master's degree in computer science, engineering or related field.
• 7+ years of experience in software development including 3+ years of experience in machine learning engineering or related field.
• Strong understanding of machine learning concepts and frameworks, including Keras, TensorFlow, PyTorch, Scikit-learn, etc.
• Familiarity with DevOps practices and tools such as Kubernetes, Docker, Jenkins, Git.
• Ability to design and implement cloud solutions and ability to build MLOps pipelines on MS Azure cloud solutions
• Experience in developing and deploying machine learning models in a production environment.
• Ability to understand tools used by data scientists and experience with software development and test automation
• Strong analytical and problem-solving skills, Fluent in English, good communication skills and ability to work in a team

Desired Qualifications:

• Experience in using AWS, MS Azure or GCP services.
• Good to have any associate Cloud Certification

EY | Building a better working world 

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.